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- Aufgaben: Join us as an Intern Data Science to develop innovative AI features and applications.
- Arbeitgeber: Predict42 is a cutting-edge AI startup transforming feedback analytics with our MIGO platform.
- Mitarbeitervorteile: Enjoy remote work options, salary + equity, and research time each week.
- Warum dieser Job: Gain hands-on experience in data science while working on real-world AI projects with experts.
- Gewünschte Qualifikationen: Knowledge of Python, web scraping, and familiarity with Generative AI and LLMs required.
- Andere Informationen: Participate in exciting team events and receive support during tough times.
Predict42 is a cutting-edge AI startup revolutionizing feedback analytics with our enterprise SAAS platform, MIGO. We’re seeking a talented Intern Data Science to join our team and gain valuable hands-on experience in the field of data science and machine learning. As an Intern Data Science, you’ll have the opportunity to work closely with experienced professionals and contribute to real-world projects, developing your technical skills and knowledge while gaining exposure to cutting-edge AI technologies.
Responsibilities:
- Develop NLP/LLM-based features for MIGO and build innovative standalone applications using Python (including web scraping techniques) or Flutter.
- Prototype Generative AI applications using techniques like text generation, image generation, and audio synthesis, leveraging LLMs (Large Language Models). Utilize Streamlit to create interactive data visualizations and dashboards for these prototypes.
- Collaborate with product managers and engineers to ensure seamless integration of NLP and generative AI models (including LLMs) into our GCP-based products and services. (Focus on data preparation and model integration, not development)
- Explore and experiment with Generative AI applications powered by LLMs, focusing on prototyping and feasibility.
- Work closely with product managers to understand business requirements and identify opportunities for AI applications, particularly those leveraging Generative AI techniques.
- Apply your knowledge of NLP techniques, including LLMs, to solve real-world problems on GCP, focusing on data analysis and exploration.
- Leverage GCP services effectively for data storage, processing, and visualization of data used in Generative AI applications.
- Utilize open-source NLP and generative AI libraries and tools (including LLM frameworks) on GCP to accelerate development.
Qualifications:
- Knowledge of Python and experience with web scraping techniques.
- Familiarity with Generative AI applications and LLMs.
- Experience with Streamlit for data visualization.
- Understanding of GCP services for data storage and processing.
- Ability to work collaboratively in a team environment.
EARN: Salary + Equity
We foster an entrepreneurial culture by offering a virtual stock option program.
We offer a mix of remote and on-premise work, combining the best of both worlds.
GROW: Research Time
All employees have blocked research time per week at their disposal.
We subsidize up to 20% of your pension plan / direct insurance via salary conversion.
COMPASSION: Care
We care and support you if you go through a difficult time at some point in your life.
BOND: Team Building
We organize different team events, including a super exciting offsite each year.
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Intern Data Science and Generative AI Arbeitgeber: Predict42
Kontaktperson:
Predict42 HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Intern Data Science and Generative AI
✨Tip Number 1
Familiarize yourself with the latest trends in Generative AI and NLP. This will not only help you understand the technologies we use at Predict42 but also allow you to engage in meaningful conversations during your interview.
✨Tip Number 2
Showcase any personal projects or contributions to open-source projects that involve Python, web scraping, or data visualization with Streamlit. This hands-on experience can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the AI and data science community. Attend meetups or webinars related to Generative AI and LLMs to gain insights and potentially connect with someone from our team.
✨Tip Number 4
Prepare to discuss how you would approach integrating NLP models into existing products. Think about real-world applications and be ready to share your ideas on how to leverage GCP services effectively.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Intern Data Science and Generative AI
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Intern Data Science position. Highlight the key responsibilities and qualifications, such as knowledge of Python, experience with web scraping, and familiarity with Generative AI applications.
Tailor Your CV: Customize your CV to emphasize relevant skills and experiences that align with the requirements of the role. Include any projects or coursework related to data science, machine learning, or AI technologies.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and AI. Mention specific projects or experiences that demonstrate your ability to contribute to the team and your eagerness to learn from experienced professionals.
Showcase Your Technical Skills: If you have experience with tools like Streamlit or GCP, be sure to mention these in your application. Providing examples of how you've used these technologies in past projects can strengthen your application.
Wie du dich auf ein Vorstellungsgespräch bei Predict42 vorbereitest
✨Show Your Passion for AI
Make sure to express your enthusiasm for artificial intelligence and data science during the interview. Share any personal projects or experiences you've had with NLP, LLMs, or generative AI applications to demonstrate your genuine interest in the field.
✨Highlight Relevant Skills
Be prepared to discuss your knowledge of Python, web scraping techniques, and experience with Streamlit. Provide specific examples of how you've used these skills in past projects or coursework to showcase your technical abilities.
✨Understand the Company’s Products
Familiarize yourself with Predict42's MIGO platform and its features. Understanding how their enterprise SAAS platform utilizes feedback analytics will help you align your answers with their goals and show that you're proactive in your research.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and the role of generative AI within the company. This not only shows your interest but also helps you gauge if the company culture aligns with your values.
